iPhone17,2
Geekbench AI Score
4351
Single Precision Score
7538
Half Precision Score
6025
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.4 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8245
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
17102
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14580
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.0 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7105
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
4068
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7365
56.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13450
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9319
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22857
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36304
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29220
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5222
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6842
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5847
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6810
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6794
117.4 IPS |
